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Agentic Workflow Architecture Diagram Template

Diagram an agentic workflow — trigger, planner, execution loop, state, and termination check.

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What you get

  • Planner that decomposes a goal into ordered steps
  • Execution loop: execute step, call tools, reflect
  • Persisted workflow state and an explicit termination check

What this template is for

An agentic workflow architecture diagram shows how an AI workflow plans a task, runs it as a loop of steps, and decides when it's done. Unlike a single agent diagram that centers on one reasoning core, an agentic workflow emphasizes orchestration: a trigger starts the workflow, a planner decomposes the task, an execution loop runs each step (execute → call tools → reflect), workflow state persists progress between steps, and a termination check loops back or emits output. Use it to design an automated workflow, document how a long-running agent process is orchestrated, or explain where state and the stop condition live.

When to use this template

  • Design an automated agentic workflow before writing the orchestration code.
  • Explain how a workflow decomposes a goal into steps and iterates until done.
  • Document where workflow state is persisted between steps for a design review.
  • Show the termination check that decides whether to loop again or finish.
  • Trace why a workflow looped forever — was the stop condition ever reachable?
  • Compare an agentic workflow against a single ReAct agent loop.

How to use it

  1. 1Start with the trigger — a user request or an event that kicks off the workflow.
  2. 2Add the planner that decomposes the goal into an ordered set of steps.
  3. 3Draw the execution loop: execute step → call tools → reflect/validate.
  4. 4Add a workflow state store that persists progress between steps.
  5. 5Add a termination check (done?) that loops back to the planner or emits output.
  6. 6Connect the loop-back path explicitly so the iteration is visible.

Quick example

Automated research workflow

Trigger: user submits a research question
Planner: decomposes into search, read, synthesize steps
Loop: execute step → tool call → reflect on result
State: progress and intermediate findings persisted
Done? no → loop back; yes → emit final report

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See examples: /templates/agentic-workflow-architecture/examples

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